COCKTAIL : an RF-based hybrid approach for indoor localization

Dian ZHANG*, Yanyan YANG, Dachao CHENG, Siyuan LIU, Lionel M. NI

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

24 Citations (Scopus)


Traditional RF-based indoor positioning approaches use only Radio Signal Strength Indicator (RSSI) to locate the target object. But RSSI suffers significantly from the multi-path phenomenon and other environmental factors. Hence, the localization accuracy drops dramatically in a large tracking field. To solve this problem, this paper introduces one more resource, the dynamic of RSSI, which is the variance of signal strength caused by the target object and is more robust to environment changes. By combining these two resources, we are able to greatly improve the accuracy and scalability of current RF-based approaches. We call such hybrid approach COCKTAIL. It employs both the technologies of active RFID and Wireless Sensor Networks (WSNs). Sensors use the dynamic of RSSI to figure out a cluster of reference tags as candidates. The final target location is estimated by using the RSSI relationships between the target tag and candidate reference tags. Experiments show that COCKTAIL can reach a remarkable high degree of localization accuracy to 0.45m, which outperforms significantly to most of the pure RF-based localization approaches.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Communications, ICC 2010
Place of PublicationPiscataway
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa
Duration: 23 May 201027 May 2010

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486


Conference2010 IEEE International Conference on Communications, ICC 2010
Country/TerritorySouth Africa
CityCape Town

Bibliographical note

This research was supported in part by Hong Kong RGC Grant HKUSTG17908, China NSFC Grant 60933011, the National Basic Research Program of China (973 Program) under Grant No. 2006CB303000, the National Hi-Tech R&D Program of China (863 Program) under Grant No. 2008AA01A321, the National Science and Technology Major Project of China under Grant No. 2009ZX03006-001, and the Science and Technology Planning Project of Guangdong Province, China under Grant No. 2009A080207002.


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